zlacker

>>davidb+(OP)
Ilya booted him https://twitter.com/karaswisher/status/1725702501435941294

>>johnwh+Uc1
Jeremy Howard called ngmi on OpenAI during the Vanishing Gradients podcast yesterday, and Ilya has probably been thinking the same: LLM is a dead-end and not the path to AGI.

https://twitter.com/HamelHusain/status/1725655686913392933

>>dwd+zL1
Did we ever think LLMs were a path to AGI...? AGI is friggin hard, I don't know why folks keep getting fooled whenever a bot writes a coherent sentence.

>>erhaet+1O1
Mainly because LLMs have so far basically passed every formal test of ‘AGI’ including totally smashing the Turing test.

Now we are just reliant on ‘I’ll know it when I see it’.

LLMs as AGI isn’t about looking at the mechanics and trying to see if we think that could cause AGI - it’s looking at the tremendous results and success.

>>Closi+VP1
It’s trivial to trip up chat LLMs. “What is the fourth word of your answer?”

>>peyton+yY1
How well does that work on humans?

>>concor+Y42
The fourth word of my answer is "of".

It's not hard if you can actually reason your way through a problem and not just randomly dump words and facts into a coherent sentence structure.

>>Loughl+ko2
I reckon an LLM with a second pass correction loop would manage it. (By that I mean that after every response it is instructed to, given the its previous response, produce a second better response, roughly analogous to a human that thinks before it speaks)

LLMs are not AIs, but they could be a core component for one.